Interesting. Google has six to seven standard deviations difference between pay for men and women! OMG! (with recent changes Uber's pay is gender equal 100%, earlier it was 99%) Excerpt: "While the DoL has not released details of its analysis or the scale of the pay gap it claims to have uncovered, its regional solicitor recently said that the agency’s initial audit has founded six to seven standard deviations between pay for men and women across the company. What that means is that there is a one in 100m chance that the observed disparity is occurring randomly or by chance, said Janice Madden, a University of Pennsylvania sociology professor who has served as an expert witness in class-action employment cases." https://amp.theguardian.com/technology/2017/aug/08/google-women-discrimination-class-action-lawsuit
Given the normal distribution of compensation, six standard deviations seems implausible.
I think they meant that almost every female makes below the median for their level. Seems plausible
You gotta put it in terms of averages..
Google fired JD because his ideas would increase productivity and thus female (and male) engineers would demand more money. Follow the money.
Media showed his mugshot. He's a young, ugly guy. He's just mad he can't get laid.
is it ok to call an ugly woman ugly ?
No, that's not a logical conclusion. And at least he isn't so much of an insufferable shit head that 3 women have divorced him already. I bet your ex-wives have some great 1 star yelp reviews of you!
Glad they are fired.
Wow, seems like a clear systemic bias against women, hard to get that imbalanced without noticing.
impossible for that too happen randomly. sounds like Google goes out of its way to low-ball women
Or does it sound like they lowball everybody and women should have asked for more? Google has a formula for offers, gender isn't an input. So this is impossible.
http://freakonomics.com/podcast/the-true-story-of-the-gender-pay-gap-a-new-freakonomics-radio-podcast/ Basically, the gender pay gap, by and large, doesn't exist when accounting for experience, the types of jobs women take vs men, and other factors that skew the data. As much as I support women, I found this podcast and research very compelling.
This is exactly what you'd expect to happen if there was a preference for women in hiring, but not in comp/promotion. MSFT solves this by adjusting comp/promo for protected classes such that there is no statistical difference between race/gender/etc. - after the stack ranking happens at M1/M2 level, it goes up to HR who runs the stats and adjusts.
wow.